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Contact Details

  Street address:
Level 11, KGV Building
Missenden Road
CAMPERDOWN NSW 2050
 
Postal address:
Post Office Box M30
Missenden Road NSW 2050

Phone: (02) 9515-6111
Fax: (02) 9515-9610

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PET/ Nuclear Medicine

Our Research

The Department of Molecular Imaging (the 'Department'), includes both PET and Nuclear Medicine Departments and provides functional imaging using radioisotopes or tracers. The Department has had a number of 'first-in-country' landmarks. It was the first Department (of Nuclear Medicine) in the country and later with the Austin Hospital, in Melbourne, had the first PET scanners in the country in 1992. Later came the first 'fast scintillator' PET-CT scanner with Lutetium Oxyorthosilicate (LSO) PET detectors, the first 64-slice PET-CT and then 128-slice PET-CT scanners with time-of-flight (TOF) technology. In 2003, the Department installed the first public hospital owned and operated on-site medical cyclotron and associated radiochemistry facility in NSW. The cyclotron provides all the PET needs of the Department, and also supplies PET tracers to other metropolitan and rural public hospitals in NSW and Queensland. In January 2014, the Department became the first in a public hospital in Australia to obtain a Good Manufacturing Practice (GMP) PET Manufacturing license from the Therapeutic Goods Administration (TGA). The cyclotron has been constantly enhanced and updated so that it is able to operate at very high beam currents permitting consistent and optimal isotope yields; it has maintained an outstanding 99.9% uptime with only 3 unscheduled 'down' days in 13 years of operation. The PET Department is most efficient service in the country and has the greatest experience of any Australian centre, performing over 85,000 scans since opening.

A hallmark of the Department has been its interactions with other medical and surgical specialties. In the pre-PET era cardiac nuclear medicine with its non-invasive capability to image myocardial function provided indispensable for patient management. The introduction of PET heralded very strong collaborations with surgical oncologists - cardiothoracic, neurosurgical, upper gastrointestinal, colorectal, melanoma and orthopaedic surgeons - which pioneered the way that cancer was managed within Australia and internationally. The radiochemistry facilities at the cyclotron has now enabled the production of new PET tracers for cancer and diseases of the nervous system, in particular, the neurodegenerative disorders such as the dementias. These tracers will be translated into clinical care in the coming years.

The Department has a strong track record for performing high quality basic science, animal, clinical and translational research, which is reflected in its continued success in achieving funding from peak granting bodies including the National Health and Medical Research Council (NHMRC), Australian Research Council (ARC), and Cancer Institute of NSW. Staff have published in top medical, medical imaging and biomedical informatics journals as well as presenting research data at national and international meetings. The Department is also actively involved in teaching and academic supervision of medical professionals, university students, postdoctoral fellows and it also conducts visits for high school students from all over NSW.

The PET Department has 2 identical 128-slice Siemens Biograph mCT scanners with time-of-flight (TOF) / high definition reconstruction and continuous bed motion, which have been validated for numerous national and international clinical trials, where the Department has also acted as a 'core' imaging lab. The Nuclear Medicine Department has a SPECT-CT scanner and 2 ECAMS. Autoradiography facilities have been set up to complement the PET ligand work being undertaken in the dementias. Plans are underway to expand our pre-clinical imaging program with new equipment including a pre-clinical PET-MR scanner as well as to implement human PET-MR.

The Department has successful research collaborations with individuals and groups at leading academic and research institutes including: University of Sydney (Institute of Biomedical Engineering and Technology (BMET) in the Faculty of Engineering and IT and the Brain and Mind Centre); the School of Chemistry; the Faculty of Pharmacology), University of New South Wales (Lowy Cancer Research Centre, School of Chemistry), University of Wollongong (School of Chemistry), Macquarie University (School of Advanced Medicine), Brain Mind and Research Institute (BMRI), Neuroscience Research Australia (NeuRA), Sendai/Chiba/Tohoku Universities in Japan, and the National Polytechnic University in Xi'an in China.

Key Achievements

  1. Purchased two new hot cells for the development of new PET ligands;
  2. Obtained approval to investigate dementia with collaborators at Neuroscience Australia (NeuRA) as a substudy of a large longitudinal population based research project called the Koori Growing Old Well Study II (KGOWS-II);
  3. Completed validation of new PET ligands to image tau deposition in the brain.

Research Staff

  • Patricia Knebl, Research Manager

All Departmental staff are encouraged to participate in research.

Higher Degree Students:

PhD:

  • Mr Thomas Richardson-Sanchez


Publications and Presentations

Publication Details:
  1. Barrington SF, Kirkwood A, Franceschetto A, Fulham MJ, Roberts TH, Almquist H, Brun E, Hjorthaug K, Viney ZN, Pike LC, Federico M, Luminari S, Radford J, Trotman J, Fossa A, Berkhan L, Molin D, D'Amore F, Sinclair DA, Smith P, O'Doherty MJ, Johnson PW. PET-CT for staging & early response: Results from the response-adapted therapy in advanced Hodgkin Lymphoma (RATHL) study. Blood. 2016;127(12):1531-1538.
  2. Berriman J, Stevenson RJ, Thayer ZC, Thompson E, Mohamed A, Watson JD, Miller JA. Testing the importance of the Medial Temporal Lobes in human interoception: Does it matter if there is a memory component to the task? Neuropsychologia. 2016;91:371-379.
  3. Cui H, Wang X, Lin W, Zhou J, Eberl S, Yin Y, Feng D, Fulham M. Primary lung tumour segmentation from PET-CT volumes with spatial-topological constraint. International Journal of Computer Assisted Radiology and Surgery. 2016;11(1):19-29.
  4. Dupont AC, Guilloteau D, Kassiou M, Ribeiro MJ, Vercouillie J, Katsifis A, Arlicot N. Radiopharmaceuticals for PET imaging of neuroinflammation. Medicine Nucleaire. 2016;40(1):72-81.
  5. Hossain MM, Aldous L. Polyoxometalates as solution-phase electrocatalytic mediators for reduced electrode fouling and the improved oxidative response of phenols. Electrochemistry Communications. 2016;69:32-35.
  6. Johnson P, Federico M, Buttiglieri S, Kirkwood A, Fossa A, Berkahn L, Carella AM, D'Amore F, Toldbod H, Gunilla E, Franceschetto A, Fulham MJ, Luminari S, O'Doherty MJ, Patrick P, Roberts TH, Sidra G, Stevens L, Smith P, Trotman J, Viney ZN, Barrington SF. Adapted treatment guided by interim PET-CT scan in Advanced Hodgkin's Lymphoma. New England Journal of Medicine. 2016;374(25):2419-2429.
  7. Jung Y, Kim J, Kumar A, Feng DD, Fulham M. Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. Computerized Medical Imaging and Graphics. 2016;51:40-49.
  8. Kumar A, Dyer S, Kim J, Li C, Leong PH, Fulham M, Feng D. Adapting content-based image retrieval techniques for the semantic annotation of medical images. Computerized Medical Imaging and Graphics. 2016;49:37-45.
  9. Le T, Bhadbhade M, Gao J, Hook JG, Marjo CE. Persistence of the self-complementary N-H...N tape motif in chloro-s-trizazine crytsals: crystal structures of the simazine and atrazine herbicides, their polymorphic and inclusion behaviour. Crystal engineering communications. 2016;18:962-970.
  10. Lechowicz M Miller L, Irish M, Addis DR, Mohamed A, Lah S. Imagining future events in patients with unilateral temporal lobe epilepsy. British Journal of Clinical Psychology. 2016;55(2):187-205.
  11. Li C, Li A, Wang X, Eberl S, Feng D, Fulham M. A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features. Physics in Medicine and Biology. 2016;61(16):6085-6104.
  12. Liu S, Song Y, Zhang F, Feng D, Fulham M, Cai W. Clique identification and propagation for multimodal brain tumour image segmentation. Lecture Notes in Artificial Intelligence (LNAI 9919), subseries of Lecture Notes in Computer Science. 2016;9919:285-294. doi:10.1007/978-3-319-47103-7_28
  13. McCaughan GJB, Fulham MJ, Mahar A, Soper J, Hong AM, Stalley PD, Tattersall MHN, Bhadri VA. Programmed cell death-1 blockade in recurrent disseminated Ewing Sarcoma. Journal of Hematology and Oncology. 2016;9(1):48 (5 pages) doi:10.1186/s13045-016-0278x.
  14. Miller LA, Ricci M, van Schalkwijk FJ, Mohamed A, van der Werf YD. Determining the relationship between sleep architecture, seizure variables and memory in patients with focal epilepsy. Behavioral neuroscience. 2016;130(3):316-324.
  15. Stoykova M, Mattner F, Linares D, Katsifis A. Double application of translocator protein ligands and RAW cells inflammatory milieu. American Journal of Immunology. 2016;12(3):55-60.
  16. Tanner EEL, Foong KY, Hossain MM, Batchelor- McAuley C, Aldous L, Compton R. The corrannulene reduction mechanism in ionic liquids is controlled by ion pairing. The Journal of Physical Chemistry. 2016;120(15):8405-8410.
  17. Tsay I, Subiakto I, Asrar ul Haq M, Castles A, Allman K, Hayat U, Rudd N, Barlis P, van Gaal W. Radiation dose difference between state of the art myocardial perfusion scintigraphy and computed tomography coronary angiography in patients undergoing evaluation for suspected coronary artery disease. Internal Medicine Journal. 2016;46(2):226-229.
  18. Xu Y, Nguyen D, Mohamed A, Carcel C, Li Q, Kutlubaev, Anderson CS, Hackett ML. Frequency of a false positive diagnosis of epilepsy: A systematic review of observational studies. Seizure. 2016;41:167-174.
  19. Yang MY, Verschuer J, Shi Y, Song Y, Katsifis A, Eberl S, Wong K, Brannan JD, Cai W, Finlay WH, Chan HK. The effect of device resistance and inhalation flow rate on the lung deposition of orally inhaled mannitol dry powder. International Journal of Pharmaceutics.2016;513(1-2):294-301.
  20. Zhang F, Song Y, Cai W, Hauptmann AG, Liu S, Pujol S, Kikinis R, Fulham MJ, Feng DD, Chen M. Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing. 2016;177:75-88.
  21. Zhang F, Song Y, Cai W, Liu S, Liu S, Pujol S, Kikinis R, Xia Y, Fulham M, Feng D, ADNI. Pairwise latent semantic association for similarity computation in medical imaging. IEEE Transactions on Biomedical Engineering. 2016;63(5):1058-1069.
  22. Ahn E, Kumar A, Kim J, Li C, Feng D, Fulham M. X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic; pp. 855-858.
  23. Bi L, Kim J, Ahn E, Feng D, Fulham M. Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic; pp. 1059-1062.
  24. Bi L, Kim J, Ahn E, Feng D, Fulham M. Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic; pp. 1055-1058.
  25. Jung Y, Kim J, Kumar A, Fulham M, Feng D. An intuitive sketch-based transfer function design via contextual and regional labelling. In: Computer Graphics (CGI'16). 2016 Jun 28-Jul 1; Heraklion, Greece; pp. 73-76.
  26. Chin V, Lindeman R, Jackson M, Brighton T, Hertzberg M, Kidson-Gerber G, Wegner E, Fulham M, Williams J, Thompson S. The impact of salvage treatment modality in patients with positive PET-CT after R-CHOP chemotherapy for aggressive B-cell Non-Hodgkin's Lymphoma. Journal of Medical Imaging and Radiation Oncology. 2016;60(Suppl S1):154-155.
  27. Chow C, Subiakto I, Tsay I, Ponnuthurai F, Allman K, van Gaal W. A retrospective study of the appropriateness of ACC appropriate use criteria in myocardial perfusion scintigraphy. Heart, Lung and Circulation. 2016;25(Suppl 2):S210.
  28. Huang Q, Liu S, Fulham M, Feng D, Pujol S, Westin C-F, Kikinis R, Cai W. An automated Python pipeline for modelling the cerebral white matter pathways with diffusion-weighted imaging. In: 2016 International Conferences on Brain Informatics and Health (BIH 2016). Type II Abstracts - Brain big data analytics, curation and management. 2016 Oct 13-16; Omaha, NE, USA; pp. 38-39 (No. B271).
  29. Mattner F, Hung TT, Bourdier T, Lee BJ, Henderson D, Poon JC, Doan J, Lam P, Power C, Eberl S, Katsifis A, Fulham M. Evaluation of the TSPO radiotracer 18F-PBR316 in prostate tumour models. Molecular Imaging and Biology. 2016;18(Suppl 1):S1627.
  30. Peyronneau MA, Bourdier T, Eberl S, Loc'h C, Wen L, Henderson D, Lam P, Mohamed A, Greguric I, Mattner F, Katsifis A, Fulham M. In-vivo and in-vitro metabolism of the new translocator protein PET ligand [11C]PBR170. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43(Suppl 1):S236.
  31. Peyronneau MA, Loc'h C, Eberl S, Wen L, Henderson D, Greguric I, Verschuer J, Pham T, Lam P, Mattner F, Mohamed A, Katsifis A, Fulham M. Preclinical in-vivo and in-vitro comparison of the translocator protein PET ligands [18F]PBR102 and [18F]PBR111: Metabolism studies. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43(Suppl 1):S532.
  32. Thayer ZSK, Nicholson-Perry K, Bosario J, Miller L, Mohamed A. Memory, naps and time sleep in adults with epilepsy. Epilepsia; 2016;57(Suppl 2):27.

Presentations:

International:

  1. Ahn E, Kumar A, Kim J, Li C, Feng D, Fulham M. X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic.
  2. Bi L, Kim J, Ahn E, Feng D, Fulham M. Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic.
  3. Bi L, Kim J, Ahn E, Feng D, Fulham M. Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. In: 13th IEEE International Symposium on Biomedical Imaging (ISBI 2016). 2016 Apr 13-16; Prague, Czech Republic.
  4. Jung Y, Kim J, Kumar A, Fulham M, Feng D. An intuitive sketch-based transfer function design via contextual and regional labelling. In: Computer Graphics (CGI'16). 2016 Jun 28-Jul 1; Heraklion, Greece.
  5. Fulham MJ. The digital revolution and the NPU Convergence Research Centre (CRC). In: Invited presentation to the Centre for Multidisciplinary Convergence Computing (CMCC) at the National Polytechnical University (NPU). 2016 Apr 13; Xi'an, China.
  6. Zhang J, Xia Y, Xie Y, Zhou T, Fulham M, Zhang Y. Classification of medical images in biomedical literature by jointly using features generated by deep neural network and derived from heuristic. In: 2016 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2016). 2016 May 13-15. Guangzhou, China.

National:

  1. Fulham MJ. Medical Imaging Clinical Stream. In: Royal Prince Alfred Hospital Clinical Strategy Planning Day. 2016 Nov 16; Kerry Packer Education Centre Auditorium, RPA, Sydney, NSW, Australia.
  2. Fulham MJ. Small and Big Imaging. In: Royal Prince Alfred Hospital Clinical Strategy Planning Day. 2016 Nov 16; Kerry Packer Education Centre Auditorium, RPA, Sydney, NSW, Australia.
  3. Samore ADZ, Mohamed A, McEwan A. Electrical imaging of deep brain epileptic activity with stereotaxic intracranial electrodes. Australian Biomedical Engineering Conference (ABEC). 2016; Brisbane, Australia.
  4. Xu YDN, Mohamed A, Carcel C, Li Q, Kutluvaev M, Anderson CS, Hackett ML. Frequency of a false positive diagnosis of epilepsy: a systematic review of observational studies. In: Epilepsy Society of Australia Annual Scientific Meeting. 2016; Canberra, ACT, Australia.

Research Grants

GRANTING BODY AWARDEES PROJECT TITLE YEARS total $$ Years
ARC Feng D, Fulham M, Eberl S An integrated virtual functional human body (VFHB)  $ 342,000 2014-2016
NHMRC Gandhi M, Fulham M, Trotman J, Berkahn L, Le Cao K, Jones K Circulating biomarkers in advanced classical Hodgkin lymphoma  $ 513,447 2014-2016
ARC Feng DD, Kim J, Fulham MJ, Eberl S OMNI–Modality Medical Image Analysis and Visualisation  $ 355,000 2014-2017
NHMRC Halliday G, Hodges J, Lewis S, Piguet O, Kril J, Kwok J, Villemagne V, Kiernan M, Rowe D, McKeith I, Burrell J, Brodtmann A, Rohrer J, Naismith S, Prusiner S, Blair I, Rademakers R, Fulham M Non-Alzheimer’s disease degenerative dementias: Identifying prodromal genetic/familial phenotypes and modifying factors, and protein variations involved in progression  $ 6,449,246 2015-2019
MNDRIA Park S, Kiernan M, Fulham M, Ahmed R, Huynh W, Rowe D In vivo markers of ALS disease activity - linking structure to function  $ 100,000 2016
ARC Feng DD, Kim J, Fulham MJ, Eberl S Biomedical visual image analytics for multi-disciplinary retrieval  $ 390,000 2016-2019
ARC Feng DD, Kim J, Fulham MJ, Eberl S A data science framework for modelling disease patterns from medical images  $ 360,000 2016-2019

Contact details for department

Head of Department: Professor Michael Fulham

Department/Unit: PET/ Nuclear Medicine
Address:
Building 63, Level A7
Royal Prince Alfred Hospital, Missenden Road
Camperdown NSW 2050
Telephone: (02) 9515 7908
Facsimile: (02) 9515 8690
Web: www.slhd.nsw.gov.au/research/
Email: patricia.knebl@health.nsw.gov.au